Title :
A bound on the unequal error protection capabilities of rate k/n convolutional codes
Author :
Mills, D.G. ; Costello, D.J., Jr.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
fDate :
June 27 1994-July 1 1994
Abstract :
In a previous paper by Mills and Costello (see ibid., p.114, 1993) the effective free distance vector of a convolutional encoder was defined. This paper presents a new bound relating two individual effective free distances. Evaluating the bound is a useful tool in determining the possible unequal error protection capabilities of encoders of specified rate and memory distribution. In addition, the bound allows a comparison between the effective free distance vector of a specific encoder and the theoretically optimal effective free distance vector. First, a bound on the Hamming weight of the sum of two vectors with known Hamming weights is presented. Then this bound is applied to effective free distances of encoders with both balanced and unbalanced memory distributions.<>
Keywords :
channel capacity; convolutional codes; digital storage; Hamming weight bound; balanced memory distribution; convolutional codes; convolutional encoder; effective free distance vector; unbalanced memory distribution; unequal error protection; Convolutional codes; Encoding; Equations; Error correction codes; Hamming weight; Milling machines; NASA; Protection; Pulse generation;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim, Norway
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395014
